Spatial data analysis model construction for landscape vegetation impact evaluation

Source abstract

Abstract The impact assessment of vegetation ecosystems is inevitably combined with vegetation, soil, hydrothermal conditions, and topographic factors. This paper utilizes a combination of remote sensing imaging, monitoring, on-site data collection, and spatial information visualization to provide data information on landscape vegetation ecosystems and builds a GIS database for the process of landscape vegetation ecological analysis. Define landscape vegetation types and analyze landscape vegetation pattern indices. Combining the evolution of landscape vegetation areas with the change in vegetation type levels, the vegetation cover of landscape vegetation in the study area was calculated. Surface temperature inversion model based on Landsat atmospheric correction algorithm to get the surface temperature of the region from 2014 to 2020. Combined with the soil erosion classification and grading standards, the soil erosion model RUSLE was used to derive the soil erosion class. In 2020, the landscape vegetation of Jiuzhaigou had a high coverage of 62.79%, and the mean surface temperature generally showed a trend of increasing and then decreasing. Mild and moderate soil erosion decreases. The synthesis of vegetation cover, surface temperature, and soil erosion can indicate that the landscape vegetation ecological environment of the study area is good and in ecological balance.